AI Engineer

We are looking for a talented and driven AI Engineer to join our team in building innovative AI services and solutions. This role involves working with cutting-edge technologies in Machine Learning (ML), Deep Learning (DL), and Generative AI (GenAI) and LLM agents. You will collaborate with cross-functional teams to deliver scalable, production-grade AI systems that power automation and intelligent decision-making.

Responsibilities

• Develop AI services and projects using ML, DL, and GenAI technologies.
• Design and optimize ML pipelines and GenAI prompts using robust engineering techniques.
• Build and maintain AI and data workflows to support automation processes.
• Collaborate with solution architects, data scientists, software developers, product owners, and other engineers to deliver high-quality AI solutions.
• Implement and optimize ML/AI model serving strategies (low-latency, batch processing).
• Apply ML/AIOps practices including monitoring, logging, and performance tuning.
• Conduct quantitative research and experimentation to validate AI approaches.
• Integrate and orchestrate LLMs using frameworks such as LangChain, LangGraph, Crew.ai, and OpenAI Agent SDK.

Requirements

• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to write clean, maintainable, and efficient code.
• Familiarity with software engineering best practices in AI product development.
• Strong foundation in traditional machine learning, deep learning, and generative adversarial algorithms.
• Solid understanding of Generative AI and prompt engineering techniques.
• Experience with LLM orchestration frameworks (LangChain, LangGraph, Crew.ai, OpenAI Agent SDK).
• Proficient in Python and deep learning frameworks such as PyTorch and TensorFlow.
• Experience with Docker and Kubernetes for containerization and orchestration.
• Skilled in using Apache Spark for large-scale data processing is a plus.
• Hands-on experience with CI/CD workflows for AI and data pipelines.

Working Location: Operating at Silom Head office, Bangkok

If you require more information, please contact K. Ar-titaya (นิ่ม) Tel: 063-212-0702